Publications

June 2014
Supplement

Financial Policy at Apple, 2013 Student Supplement

By: Mihir Desai and Elizabeth A. Meyer

This is the student spreadsheet supplement to case 214-085, Financial Policy at Apple, 2013 (A). View Details

Keywords: Apple; Steve Jobs; Forecast; Forecasting; Forecasting And Prediction; Shareholder Activism; Share Repurchase; Dividends; Financial Ratios; Preferred Shares; Cash Distribution; Corporate Finance; Borrowing and Debt; Financial Management; Financial Strategy; Technology Industry; Consumer Products Industry; United States; Republic of Ireland

Teaching Interest

Overview

Paul is primarily interested in teaching data science to management students through the case method. This includes technical topics (programming and statistics) as well as higher-level management issues (digital transformation, data governance, etc.) As a research... View Details

Keywords: A/B Testing; AI; AI Algorithms; AI Creativity; Algorithm; Algorithm Bias; Algorithmic Bias; Algorithmic Fairness; Algorithms; Analytics; Application Program Interface; Artificial Intelligence; Causality; Causal Inference; Computing; Computers; Data Analysis; Data Analytics; Data Architecture; Data As A Service; Data Centers; Data Governance; Data Labeling; Data Management; Data Manipulation; Data Mining; Data Ownership; Data Privacy; Data Protection; Data Science; Data Science And Analytics Management; Data Scientists; Data Security; Data Sharing; Data Strategy; Data Visualization; Database; Data-driven Decision-making; Data-driven Management; Data-driven Operations; Datathon; Economics Of AI; Economics Of Innovation; Economics Of Information System; Economics Of Science; Forecast; Forecast Accuracy; Forecasting; Forecasting And Prediction; Information Technology; Machine Learning; Machine Learning Models; Prediction; Prediction Error; Predictive Analytics; Predictive Models; Analysis; AI and Machine Learning; Analytics and Data Science; Applications and Software; Digital Transformation; Information Management; Digital Strategy; Technology Adoption

September 2023
Article

Stock Price Reactions to ESG News: The Role of ESG Ratings and Disagreement

By: George Serafeim and Aaron Yoon

We investigate whether ESG ratings predict future ESG news and the associated market reactions. We find that the consensus rating predicts future news, but its predictive ability diminishes for firms with large disagreement between raters. Relation between news and... View Details

SSRN

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07 Jan 2019
Research & Ideas

The Better Way to Forecast the Future

different fields,” says Grushka-Cockayne, whose research is on data science, forecasting, project management, and behavioral decision-making. “Our work is focused on using crowds for prediction and for forecasting something that is... View Details

Keywords: by Roberta Holland; Air Transportation; Transportation

18 Jun 2024
Research & Ideas

Central Banks Missed Inflation Red Flags. This Pricing Model Could Help.

doctoral student at the University of Chicago. The ‘state’ of the price gap matters Economists generally use two main data models to detect inflation and predict the pace at which retailers raise prices: time dependent and state... View Details

Keywords: by Rachel Layne; Financial Services; Banking

April 12, 2023
Article

Using AI to Adjust Your Marketing and Sales in a Volatile World

By: Das Narayandas and Arijit Sengupta

Why are some firms better and faster than others at adapting their use of customer data to respond to changing or uncertain marketing conditions? A common thread across faster-acting firms is the use of AI models to predict outcomes at various stages of the customer... View Details

Keywords: Forecasting and Prediction; AI and Machine Learning; Consumer Behavior; Technology Adoption; Competitive Advantage

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Article

Investor Sentiment in the Stock Market

By: Malcolm Baker and Jeffrey Wurgler

We examine how investor sentiment affects the cross-section of stock returns. Theory predicts that a broad wave of sentiment will disproportionately affect stocks whose valuations are highly subjective and are difficult to arbitrage. We test this prediction by... View Details

Keywords: Financial Markets; Stocks; Investment Return; Valuation; Forecasting and Prediction; Volatility; Price; Risk and Uncertainty; Behavioral Finance

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23 Apr 2024
In Practice

Getting to Net Zero: The Climate Standards and Ecosystem the World Needs Now

With each month clocking record-breaking temperatures across the planet, this Earth Day reflected the renewed urgency of regulators and businesses to find climate-change solutions. The US Securities and Exchange Commission recently adopted new rules that will mandate... View Details

Keywords: by Rachel Layne

November 2020
Case

Axis My India

By: Ananth Raman, Ann Winslow and Kairavi Dey

Pradeep Gupta founded Axis My India (AMI) as a printing and publishing company in 1998. In 2013, AMI expanded into consumer research and election forecasting. Although a relatively unknown entity, AMI predicted several election results accurately. Gupta describes AMI’s... View Details

Keywords: Market Research; Operations; Management; Infrastructure; Logistics; Service Operations; Political Elections; Forecasting and Prediction; Asia; India

Educators

2020
Working Paper

Is Accounting Useful for Forecasting GDP Growth? A Machine Learning Perspective

By: Srikant Datar, Apurv Jain, Charles C.Y. Wang and Siyu Zhang

We provide a comprehensive examination of whether, to what extent, and which accounting variables are useful for improving the predictive accuracy of GDP growth forecasts. We leverage statistical models that accommodate a broad set of (341) variables—outnumbering the... View Details

Keywords: Big Data; Elastic Net; GDP Growth; Machine Learning; Macro Forecasting; Short Fat Data; Accounting; Economic Growth; Forecasting and Prediction; Analytics and Data Science

SSRN

Forthcoming
Article

Human-Algorithm Collaboration with Private Information: Naïve Advice Weighting Behavior and Mitigation

By: Maya Balakrishnan, Kris Ferreira and Jordan Tong

Even if algorithms make better predictions than humans on average, humans may sometimes have private information which an algorithm does not have access to that can improve performance. How can we help humans effectively use and adjust recommendations made by... View Details

Keywords: AI and Machine Learning; Analytics and Data Science; Forecasting and Prediction; Digital Marketing

February 2024
Module Note

Data-Driven Marketing in Retail Markets

By: Ayelet Israeli

This note describes an eight-class sessions module on data-driven marketing in retail markets. The module aims to familiarize students with core concepts of data-driven marketing in retail, including exploring the opportunities and challenges, adopting best practices,... View Details

December 2011
Article

Stock Price Fragility

By: Robin Greenwood and David Thesmar

We investigate the relationship between ownership structure of financial assets and non-fundamental risk. We define an asset to be fragile if it is susceptible to non-fundamental trading shocks. An asset can be fragile because of concentrated ownership or because its... View Details

Keywords: Stocks; Price; Ownership; Risk and Uncertainty; Assets; System Shocks; Financial Liquidity; Forecasting and Prediction; Investment Return; Volatility; Relationships; United States

October 2017 (Revised April 2018)
Case

Improving Worker Safety in the Era of Machine Learning (A)

By: Michael W. Toffel, Dan Levy, Jose Ramon Morales Arilla and Matthew S. Johnson

Managers make predictions all the time: How fast will my markets grow? How much inventory do I need? How intensively should I monitor my suppliers? Which potential customers will be most responsive to a particular marketing campaign? Which job candidates should I... View Details

Keywords: Machine Learning; Policy Implementation; Empirical Research; Inspection; Occupational Safety; Occupational Health; Regulation; Analysis; Forecasting and Prediction; Policy; Operations; Supply Chain Management; Safety; Manufacturing Industry; Construction Industry; United States

Educators

09 Dec 2019
News

Identify Great Customers from Their First Purchase

2023
Working Paper

The Limits of Algorithmic Measures of Race in Studies of Outcome Disparities

By: David S. Scharfstein and Sergey Chernenko

We show that the use of algorithms to predict race has significant limitations in measuring and understanding the sources of racial disparities in finance, economics, and other contexts. First, we derive theoretically the direction and magnitude of measurement bias in... View Details

Keywords: Racial Disparity; Paycheck Protection Program; Measurement Error; AI and Machine Learning; Race; Measurement and Metrics; Equality and Inequality; Prejudice and Bias; Forecasting and Prediction; Outcome or Result

SSRN

20 Mar 2017
Working Paper Summaries

Bubbles for Fama

Keywords: by Robin Greenwood, Andrei Shleifer, and Yang You

23 Sep 2017
Working Paper Summaries

Nowcasting the Local Economy: Using Yelp Data to Measure Economic Activity at Scale

Keywords: by Edward L. Glaeser, Hyunjin Kim, and Michael Luca

2008
Article

Warmth and Competence As Universal Dimensions of Social Perception: The Stereotype Content Model and the BIAS Map

By: A. J.C. Cuddy, S. T. Fiske and P. Glick

The stereotype content model (SCM) defines two fundamental dimensions of social perception, warmth and competence, predicted respectively by perceived competition and status. Combinations of warmth and competence generate distinct emotions of admiration, contempt,... View Details

Keywords: Perception; Competency and Skills; Prejudice and Bias; Emotions; Business Model; Behavior; Research; Competition; Status and Position; Cognition and Thinking; Groups and Teams

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